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Design, validate, and debug medium-to-high complexity PCBA and electrical subsystems for autonomous vehicles. Lead DFMEA, ISO 26262/ASIL compliance, thermal and power validation, root-cause analysis, and cross-functional integration from schematic through product release.

Build tools, libraries, and infrastructure to accelerate Planning development for autonomous vehicles. Improve testing, debugging, metrics, simulation, and evaluation workflows; expose actionable insights from logs and real-world data. Lead infrastructure projects, optimize performance and maintainability, and partner with Planning engineers to increase engineering velocity and safety-case/test coverage.

Design, implement, and own behavior and motion planning features for autonomous trucks end-to-end. Debug using logs, simulation, and real-world data, define validation metrics, participate in design and code reviews, and mentor engineers while collaborating across the autonomy stack.

The Functional Safety Software Engineer will develop technical safety requirements, lead software safety specification, and perform analyses to comply with ISO 26262, focusing on autonomous vehicles.

As a Senior Software Engineer, you will design algorithms for motion planning, improve AI behavior predictions, and enhance planning tools while collaborating across teams.

Design and implement low-level embedded software for x86/ARM platforms in C/C++; collaborate with hardware and software teams to spec, test, and debug vehicle subsystems and sensors (camera, radar, lidar, IMU); work on network devices and time synchronization; perform hands-on hardware bring-up and on-vehicle debugging of buses like I2C, CAN, SPI, UART; ensure reliability and safety for autonomous trucking systems.

The Hardware Quality Industrialization Engineer will enhance quality processes, manage suppliers, analyze returns, and implement corrective actions in a growing manufacturing team.

Manage and develop social media strategies, create content, engage with communities, collaborate cross-functionally, and analyze social media performance.

Lead integration of learned models into the autonomous behavior planning stack. Collaborate with ML and autonomy teams to design, validate, monitor, and deploy learned planning components while ensuring safety, fallback strategies, debuggability, and production readiness. Mentor engineers and drive cross-functional technical designs using simulation, logs, and real-world data.

Develop and implement safety-critical vehicular motion control software in C++ for articulated autonomous trucks. Characterize vehicle dynamics, build motion prediction models, test and tune controllers, specify requirements, and collaborate across planning, hardware, systems, and infrastructure teams to deliver robust, fail-safe control systems.